SolarWindow Technologies (WNDW) Operating Expenses (2010 - 2026)
SolarWindow Technologies' Operating Expenses was $727,008 in fiscal Q3 2026 (quarter ended May 31, 2026), up 31.3% from $553,508 a year earlier and up 16.5% from the prior quarter.
SolarWindow Technologies (WNDW) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, SolarWindow Technologies' Operating Expenses was $2.5 million through May 31, 2026, up 0.2% year-over-year; for FY2025 (ended Aug 31, 2025), it was $2.36 million, down 9.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $2.61 million in FY2024 (+12.8%), $2.31 million in FY2023 (-38.3%), $3.75 million in FY2022 (-52.8%) and $7.94 million in FY2021 (+4.4%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses since fiscal Q3 2024.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2024 (growth of 47.8%); the worst was fiscal Q4 2021 (a decline of 66.2%).
- Per Business Quant data, WNDW's Operating Expenses in the three fiscal quarters before Q3 2026 was $623,946 (Q2 2026), $613,189 (Q1 2026) and $538,085 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 115.20 Mn |
| 10 | SolarWindow Technologies | 124.98 Mn | 120.19 Mn | - | 727,008.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 727,008.00 |
| Feb 28, 2026 | 623,946.00 |
| Nov 30, 2025 | 613,189.00 |
| Aug 31, 2025 | 538,085.00 |
| May 31, 2025 | 553,508.00 |
| Feb 28, 2025 | 669,027.00 |
| Nov 30, 2024 | 595,131.00 |
| Aug 31, 2024 | 680,422.00 |
| May 31, 2024 | 855,308.00 |
| Feb 29, 2024 | 501,961.00 |
| Nov 30, 2023 | 568,197.00 |
| Aug 31, 2023 | 591,360.00 |
| May 31, 2023 | 578,691.00 |
| Feb 28, 2023 | 539,902.00 |
| Nov 30, 2022 | 601,050.00 |
| Aug 31, 2022 | 678,546.00 |
| May 31, 2022 | 750,603.00 |
| Feb 28, 2022 | 1.18 Mn |
| Nov 30, 2021 | 1.35 Mn |
| Aug 31, 2021 | 1.42 Mn |
SolarWindow Technologies Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=WNDW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WNDW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WNDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();